The retail sector in Forest Town, Mansfield, faces specific challenges related to crime, despite exhibiting a relatively high safety score of 88 out of 100. Understanding these challenges and implementing preventative measures is vital for businesses to thrive.
Currently, Forest Town, classified as a Built-Up Area (BUA) with a population of 22,202, reports a crime rate of 49.2 incidents per 1,000 residents. This figure is notably lower than the UK average of 91.6 crimes per 1,000 people, suggesting a comparatively safer environment overall. However, even a lower crime rate can present significant issues for retailers.
While the precise nature of retail crime in Forest Town isn’t detailed in available data, common challenges impacting retail businesses nationwide – and likely present in Forest Town – include shoplifting, employee theft, and organised retail crime. Shoplifting often involves the theft of easily concealable goods, while employee theft can encompass a range of actions from petty pilferage to more significant fraudulent activities. Organised retail crime typically involves gangs targeting multiple stores for high-value items.
The higher safety score of 88/100 indicates that residents generally feel safe in the area, which is positive. However, this doesn't negate the need for robust security measures within retail premises. Businesses should consider factors such as the visibility of staff, the layout of the store (minimising blind spots), and the implementation of security technologies like CCTV and alarm systems. Regularly reviewing CCTV footage and reporting incidents to the police is also important. Furthermore, fostering a strong relationship with the local police force can facilitate proactive crime prevention strategies. Businesses should be aware of their responsibilities under the Retail Crime Partnership and consider joining local business crime reduction partnerships where available to share information and best practices. Finally, consistent stock management and reconciliation procedures can help identify and mitigate losses due to theft.